#1 moment for ‘캠핑 의자’: "차박에서 편안한 휴식을 원할 때" 67.5%

01At a glance

84,141

Monthly situation search volume

2

CEPs

2

Unclaimed situations

67.5%

Largest CEP share · 차박에서 편안한 휴식을 원할 때

Start here

1차박에서 편안한 휴식을 원할 때Unclaimed situation volume 56,754No brand shows up in this big situation yet → plant content & ads on its search terms first
2가족과 피크닉을 계획할 때Unclaimed situation volume 27,387No brand shows up in this big situation yet → plant content & ads on its search terms first

Unclaimed situation = a CEP where no brand was detected in its journeys or SERPs · Unclaimed situation volume = situation volume × (1 − brand fit). Situation volume is a proxy for how often the moment happens, not the volume of category-name searches

02Decision summary

what to do first

Priority	Entry situation (CEP)	Power	Unclaimed situation volume	Brand competition	Next action
1	차박에서 편안한 휴식을 원할 때	67.5%	56,754	unclaimed	No brand shows up in this big situation yet → plant content & ads on its search terms first evidence weak
2	가족과 피크닉을 계획할 때	32.6%	27,387	unclaimed	No brand shows up in this big situation yet → plant content & ads on its search terms first evidence weak

Click a column header to sort by it · click a CEP name to jump to its detail card

Power = this situation's share of all CEP situation searches (bigger = wider door in) · Brand competition = whether brands show up in this situation's journeys/SERPs · Evidence = strength of the supporting search evidence (strong/medium/weak)

03CEP occurrence over timederived

when it grew and when it fell

Total entry demand (all CEPs)YoY (12M)-8%Last 3M YoY-1%Peak–48 months · CEP 2stablenon-seasonal

Click a row to switch the chart above to that CEP. Click the same row again, or the top row, to return to the total.

CEP	YoY (12M)	Last 3M YoY	Peak		queries
Total entry demand (all CEPs)	-8%	-1%	–	stablenon-seasonal
차박 편안함↗	-18%	-7%	2	stableseasonal	4/4
가족 피크닉↗	+14%	+15%	4·5	stableseasonal	3/3

Peak calendar: CEP × calendar-month index

	1	2	3	4	5	6	7	8	9	10	11	12
차박 편안함	1.0	1.5	0.9	0.9	1.0	0.8	0.8	0.8	1.1	1.2	0.9	1.0
가족 피크닉	0.7	0.7	1.1	1.6	1.3	1.0	0.9	0.7	1.0	1.2	0.8	0.7

Cell = that month's average volume ÷ overall monthly average (1.0 = average). Bold = peak month.

Monthly search volume per situation over 48 measured months: when and how often each situation occurs. Combined with survey data, it shows both the size of a situation and how it changes.

Rule: growing/declining = trailing 12-month sum vs the prior 12 months ±20% or more / peak month = calendar-month index ≥1.30 / seasonal = max ÷ min month index ≥1.8. Monthly values are measured monthly search volumes [measured]; CEP series are sums over measured measured queries [derived]. Unlike survey CEP power (share of respondents), this frequency is search occurrence.

04Competitive structurederived

fixed leaders, contested and open situations

fixed leader (0)

–

contested (0)

–

dispersed (0)

–

open (2)

차박 편안함 67.5%
가족 피크닉 32.6%

Open has two kinds: measured with no brand mentions is a claim candidate; unmeasured needs a deep run or survey before claiming. · Contested = gap between #1 and #2 ≤10pt · dispersed = leader share <35% · HHI = sum of squared shares. Core CEPs (power ≥ median) are filled, others faded. Unmeasured are dashed (unknown, not empty).

05CEP power

each situation's share of all situation searches

total 2 CEP · [derived] power = the CEP's search volume ÷ total volume of all CEPs

06Brand × entry situation

claimed vs. open (all CEPs)

Brand links measured for 0 of 2 entry situations · the other 2 are graded as opportunities. Small k/m in a cell = brand-mention sample (small m = low confidence).

	Brand link
차박 편안함67.5%	Big land-grab: large unclaimed situation 67.5% · mo. 56,754
가족 피크닉32.6%	Big land-grab: large unclaimed situation 32.6% · mo. 27,387

[derived] · colored cell = measured share (k/m sample) · green/amber row = land-grab opportunity (no brand linked, by situation size) · gray row = small · "·" = not queried (no data ≠ 0)

Discovered category brands (unlinked): 스타벅스, 이케아, 노브랜드, 스노우피크, 헬리녹스, 지프, 코베아, 노마드, 스노우라인, 버팔로

Brand counting basis: direct brand-name mentions (no product-name mapping).

07Category link rate on search pathsderived

does the situation lead to the category next

차박 편안함 67.5%link rate 42% · mid · 85/200 paths

가족 피크닉 32.6%link rate 0% · low · 0/200 paths

Link rate = share of search paths through this situation whose later queries contain a category term (캠핑, 의자) [derived]. low <20% · high ≥50%. Power ≥ median and low = category-growth candidate (the situation is big but the category is not chosen yet). Only journeys starting from the situation term are used; the category-anchor journey is excluded (linked by construction). CEPs whose own queries already contain the category term are skipped.

08W-axis mixassumption

where this map's situations cluster

Why · purpose/benefit1 CEPs · power sum 67%

Who · for whom1 CEPs · power sum 33%

When · timing/trigger0 CEPs · power sum 0%

Where · place0 CEPs · power sum 0%

While · doing what0 CEPs · power sum 0%

With whom0 CEPs · power sum 0%

Feeling · mood0 CEPs · power sum 0%

BEP (benefit entry points): 0 / 2

Empty axes: When · timing/trigger, Where · place, While · doing what, With whom, Feeling · mood. This is where a candidate list may be trapped in the designer's hypotheses; add entry-situation candidates on these axes in the next run's review step.

The W-axis shows the angle each CEP arises from (why, for whom, when, where, while doing what, with whom, feeling) [assumption]; when scene-7W evidence exists, the most populated axis is used [derived]. BEP = entries where the desired outcome comes first, like why or feeling.

09Searcher profilemeasured

age and gender by situation

	13-19	20-24	25-29	30s	40s	50+	Gender split
차박 편안함	3	7	11	29	34	16	F 59%
가족 피크닉	8	7	10	28	33	13	F 73%

lowhighEach cell is that age band's share (%) of the CEP's searchers

10Audience in the query

Who it is for

Only searches that name an audience (the recipient, companion or user) are counted, and their monthly volume summed. It reads who people search for, and with whom, straight from the queries.

Audience	Top queries	Monthly volume
Babies 아기 · 유아	아기 캠핑의자 · 유아 캠핑의자	4,069
Kids 어린이 · 키즈 · 아동	어린이 캠핑 의자 · 키즈 캠핑의자 · 아동 캠핑의자	2,102
Pets 강아지	강아지 캠핑의자	716

Measured queries × fixed lexicon classification [derived]. A query naming two audiences counts in both.

11Search data used in this report

A CEP is a situation that many search signals point to together, not a single keyword. This shows how much related-search, search-path, search-cluster, SERP text, PAA and AI Overview data was collected, and which of it served as evidence for each CEP's scene (when, where, why, with whom) and its nano context, KBF, constraints and avoidances.

Data	Collected	Used as CEP evidence
Related searches	250	in the dossiers of 0/2 CEPs
Search paths	700 paths (incl. 0 deep-measurement paths)	in the dossiers of 0/2 CEPs
Search clusters	0 clusters · 0 queries	in the dossiers of 0/2 CEPs
SERPs (Google results)	0	in the dossiers of 0/2 CEPs
AI Overview	0	in the dossiers of 0/2 CEPs
PAA (People also ask)	0	–

Where each CEP showed up

CEPs surface in different places depending on the topic and situation: some in search paths, some in clusters or related searches, some in AIO and PAA. Left: share of the CEP's measured query volume found in each source (discovery). Right: how often each source was cited for the scene 7W and attributes. 'none' means that source never reached this CEP.

CEP	Discovery (volume share)						Cited as evidence (count)
CEP	related searches	search paths	search clusters	AIO	PAA	mined from paths/clusters/AIO	CEP queries	search paths	search clusters	related searches	AIO	PAA	top results
차박에서 편안한 휴식을 원할 때	–	100%	–	–	–	–	·	·	·	·	·	·	·
가족과 피크닉을 계획할 때	–	99%	–	–	–	–	·	·	·	·	·	·	·

12CEP detail cards

CEP 1purpose CEP

차박에서 편안한 휴식을 원할 때

Macroexplicit CEP

power 67.5% derived · avg monthly volume 56,754 · trend (3M) -17%

W-axis Whystructure open YoY (12M) -18% · Peak 2mo.stableseasonalcategory link 42%

The situationassumption

소비자는 차박에 관심을 가집니다. 차박에서 휴식이 필요할 때, 편안한 휴식을 원하게 됩니다. 차박 캠핑카에서 편안함을 추구하며, 차박 관련 정보를 검색합니다.

Next actionNo brand shows up in this big situation yet → plant content & ads on its search terms first evidence weak

Investment priority derived

Investment candidate #1Unclaimed situation volume up to 56,754/mo

Market size 100 · Brand fit – · Provability 0(evidence thin), highest-priority investment on this 3-axis combination

Combines the 3 selection axes + power/volume via a fixed rule; a new calculation only, no new data

Scenes: micro-CEPs within this situation

차박에서 휴식이 필요할 때 assumption 56,511 · 100% derived

차박 캠핑카에서 편안함을 추구할 때 assumption 243 · 0% derived

Scene names are [assumption] bonded to quoted evidence · volume is the measured sum of scene-attributed queries [derived] · evidence-less scenes are discarded by code

Search journey: just before and after derived

Adjacent transitions aggregated from 200 measured paths; an aggregate graph flow, not one person's timeline

Message angle assumption

Core message“차박에서 편안한 휴식을 원할 때, 진정한 안락함을 경험하세요.”

Content ideas차박의 밤, 완벽한 편안함을 선사하는 순간들 (영상 콘텐츠) · 나만의 차박 아지트, 편안함으로 채우는 방법 (가이드 콘텐츠)

편안한안락한고요한

Synthesized from KBF, reasons to believe, emotion & style, and the 6W1H scene

Show 4 evidence blocksHide evidence

Evidence queries measured

차박 55,890measured차박 캠핑카 436measured차박 현실 243measured차박 히터 185measured

Context (7W)

why: 편안한 휴식 assumptionwhen: 차박 assumptionfeeling: 편안함 assumption

Selection axes (market · fit · provability)

Market size100

Brand fit–

Provability0

Searcher profile

Appendix: AI search exposure

AI tracking questions assumption

1“차박에서 편안하게 쉴 수 있는 의자를 추천해줘.”existing prompt

2“차박 캠핑카에서 사용할 편안한 의자가 필요해.”

3“차박할 때 편안한 휴식을 위한 의자를 찾고 있어.”

4“차박에서 쉴 때 편안한 의자를 추천받고 싶어.”

Questions this situation's consumers may ask an AI; used to track AI-response exposure

Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.

CEP 2purpose CEP

가족과 피크닉을 계획할 때

Macroexplicit CEP

power 32.6% derived · avg monthly volume 27,387 · trend (3M) -41%

W-axis Whostructure open YoY (12M) +14% · Peak 4·5mo.stableseasonalcategory link 0%

The situationassumption

소비자는 가족과 함께 피크닉을 준비합니다. 피크닉 용품을 준비할 때, 필요한 물품을 찾게 됩니다. 이에 피크닉 용품을 검색합니다.

Next actionNo brand shows up in this big situation yet → plant content & ads on its search terms first evidence weak

Investment priority derived

Investment candidate #2Unclaimed situation volume up to 27,387/mo

Market size 48 · Brand fit – · Provability 0(evidence thin), highest-priority investment on this 3-axis combination

Combines the 3 selection axes + power/volume via a fixed rule; a new calculation only, no new data

Scenes: micro-CEPs within this situation

가족과 함께 피크닉을 준비할 때 assumption 27,004 · 99% derived

피크닉 용품을 준비할 때 assumption 383 · 1% derived

Scene names are [assumption] bonded to quoted evidence · volume is the measured sum of scene-attributed queries [derived] · evidence-less scenes are discarded by code

Search journey: just before and after derived

Adjacent transitions aggregated from 200 measured paths; an aggregate graph flow, not one person's timeline

Message angle assumption

Core message“사랑하는 가족과 함께하는 피크닉, 소중한 추억을 만들어보세요.”

Content ideas가족 피크닉, 행복을 더하는 필수 아이템 (추천 콘텐츠) · 아이와 함께 즐기는 특별한 피크닉 레시피 (콘텐츠)

따뜻한행복한화목한

Synthesized from KBF, reasons to believe, emotion & style, and the 6W1H scene

Show 4 evidence blocksHide evidence

Evidence queries measured

피크닉 26,830measured피크닉 용품 383measured피크닉 전개도 174measured

Context (7W)

with whom: 가족 assumption

Selection axes (market · fit · provability)

Market size48

Brand fit–

Provability0

Searcher profile

Appendix: AI search exposure

AI tracking questions assumption

1“가족과 피크닉 갈 때 필요한 의자를 추천해줘.”existing prompt

2“주말에 가족과 피크닉을 계획 중인데, 어떤 의자가 좋을까?”

3“가족과 함께 피크닉을 즐길 때 사용할 의자를 찾고 있어.”

4“피크닉에서 가족과 함께 쓸 편안한 의자를 추천받고 싶어.”

Questions this situation's consumers may ask an AI; used to track AI-response exposure

Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.

13Brand summary

behavioral MMS proxy · width×depth

	MMS proxy [derived]	branded volume [measured]	depth (avg rank)
스타벅스	–	1,188,333	–
이케아	–	1,045,666	–
노브랜드	–	292,600	–
스노우피크	–	146,033	–
헬리녹스	–	86,433	–
지프	–	47,170	–
코베아	–	30,220	–
노마드	–	18,463	–
스노우라인	–	17,400	–
버팔로	–	15,460	–

14Limits

what this map does not say

Any brand share / response-priority judgment ("how a brand is doing") holds only where brand linkage was actually measured for that CEP; check the measured ratio in Evidence readiness just below. Where many CEPs are unmeasured, treat brand-related conclusions as provisional.
Search reflects familiarity and purchase-consideration more strongly than unaided recall; in person-level validation, recognition alone drove search only 1.22x (near-negligible), while familiarity/consideration were clearly larger, reaching 7.0x (smartphones) / 5.3x (autos) when all 5 positive brand attitudes were held (Dotson et al., Google). This correlation is confounded by brand size (bigger brands move on many metrics at once), and validation was done at brand-total level.
Existing/habitual buyers don't disappear from search; the same study found brand owners searched their brand 2.5-3.5x more than non-owners (Dotson et al., Google). But much of that is non-need-expressing (brand-name/navigational/support queries), so this map's need-type CEP distribution skews toward new-entry/switch-consideration demand.
Brand share is relative within the measured set; an unqueried brand x CEP pair is [no data], not zero.
Paths are aggregate graph flow, not one person's timeline; "transition" is a modeled statistic.
CEP power's denominator is classified queries, not people; it isn't directly comparable to survey-based CEP power (denominator = people); the same person's 10 queries count as 10 votes on this map.
Queries that pick by naming a brand/origin are closer to a search mode than a situation, and differ in kind from other CEPs - they're bucketed separately to avoid contaminating need-type CEPs, so when counting "number of entry situations," we recommend excluding this item and the unclassified long tail.
Before decisions like budget/resource allocation, we recommend pairing this with survey-based recall measurement (person-level CEP power / share of mind).
The code discarded 27 AI-suggested item(s) lacking evidence (evidence is enforced).

Evidence readiness: partial · 2 of 2 CEPs have measured search queries, brand linkage measured for 0; the rest need the co-query matrix / trigger expansion (deep run)

15Reproducibility

Search volume lookup 7 · Search paths 3 · Related searches 1 · AI synthesis 1

Data retrieval detail

Connector calls	Parameters	Credits spent
Related searches	캠핑 의자 +3 / kr / limit 250	620
Search paths	캠핑 의자 / kr / limit 300	7170
Search volume lookup	10 / kr	10
Search volume lookup	9 / kr	9
Search paths	차박 / kr / limit 200	5650
Search paths	피크닉 / kr / limit 200	3650
Search volume lookup	262 / kr	262
Search volume lookup	4 / kr	4
Search volume lookup	80 / kr	80
Search volume lookup	18 / kr	18
Search volume lookup	2 / kr / all	20
AI synthesis	gemini-2.5-flash (S0 grounded + S3 synthesis)	0

Credits spent: 17493 [measured]

Reused IKG graph: topic '캠핑' · readiness: ready · 54-day-old snapshot · adopted 0 entry situations / 0 attributes · 0 credits IKG

CEP Finder 2.1 run; input "캠핑 의자", depth=quick
Volume is the trailing 3-month average monthly searches [measured]. Power's denominator is the set of queries classified into CEPs.
Brand share uses one method per CEP: brand appearance in search paths, measured brand co-searches, or brand mentions in the situation's search results and AI Overviews; never blended.
A CEP is a unit of "situation/scene," not "person"; from a penetration angle: more entry situations means a wider door for non-customers and light users.
Reused a stored IKG (Intent Knowledge Graph) graph: topic '캠핑', readiness: ready, 54-day-old snapshot, run 50a3739b2f8b (0 credits). 0 entry-situation and 0 attribute proposals were adopted only after passing this run's measurement and evidence checks (10 dropped); adopted items carry an IKG source tag in the report
2 CEP(s) with unmeasured brand linkage; can be expanded via a deep run